labels.webauth_list_hostname=Nama Host
labels.webauth_list_web_crawling_config=Nama Konfigurasi
labels.webauth_any=Apa Saja
labels.webauth_create_web_config=Buat Konfigurasi Web Baru
labels.webauth_title_details=Autentikasi Web
labels.webauth_hostname=Nama Host
labels.webauth_port=Port
labels.webauth_realm=Realm
labels.webauth_scheme=Skema
labels.webauth_username=Nama Pengguna
labels.webauth_password=Kata Sandi

labels.user_homePostalAddress=CEP (residencial)
labels.homePostalAddress=CEP (residencial)
labels.user_labeledURI=labeledURI
labels.labeledURI=labeledURI
labels.user_roomNumber=Número da sala
labels.roomNumber=Número da sala
labels.user_description=Descrição
labels.description=Descrição
labels.user_title=Cargo
labels.title=Cargo
labels.user_pager=Pager
labels.pager=Pager
labels.user_street=Rua

 * saml.sp.single_logout_service.url=https://your-fess-server.example.com/sso/logout
 * </pre>
 *
 * <h2>Complete Configuration Example (Okta)</h2>
 * <pre>
 * sso.type=saml
 *
 * # IdP settings from Okta SAML setup instructions
 * saml.idp.entityid=http://www.okta.com/your-app-id
 * saml.idp.single_sign_on_service.url=https://your-domain.okta.com/app/your-app/your-app-id/sso/saml

As they are part of the URL, they are "naturally" strings.

But when you declare them with Python types (in the example above, as `int`), they are converted to that type and validated against it.

All the same process that applied for path parameters also applies for query parameters:

* Editor support (obviously)
* Data <abbr title="converting the string that comes from an HTTP request into Python data">"parsing"</abbr>

You could also use `from starlette.requests import Request` and `from starlette.responses import JSONResponse`.

**FastAPI** provides the same `starlette.responses` as `fastapi.responses` just as a convenience for you, the developer. But most of the available responses come directly from Starlette. The same with `Request`.

///

## Override the default exception handlers { #override-the-default-exception-handlers }

///

### Pydantic v1 and v2 on the same app { #pydantic-v1-and-v2-on-the-same-app }

It's **not supported** by Pydantic to have a model of Pydantic v2 with its own fields defined as Pydantic v1 models or vice versa.

```mermaid
graph TB
    subgraph "❌ Not Supported"

/// info

Support for `separate_input_output_schemas` was added in FastAPI `0.102.0`. 🤓

///

{* ../../docs_src/separate_openapi_schemas/tutorial002_py310.py hl[10] *}

### Same Schema for Input and Output Models in Docs { #same-schema-for-input-and-output-models-in-docs }

And now there will be one single schema for input and output for the model, only `Item`, and it will have `description` as **not required**:

And of course, it supports the same:

* data validation
* data serialization
* data documentation, etc.

This works the same way as with Pydantic models. And it is actually achieved in the same way underneath, using Pydantic.

/// info

Keep in mind that dataclasses can't do everything Pydantic models can do.

If you pass a "callable" as a dependency in **FastAPI**, it will analyze the parameters for that "callable", and process them in the same way as the parameters for a *path operation function*. Including sub-dependencies.

That also applies to callables with no parameters at all. The same as it would be for *path operation functions* with no parameters.

<pre>
[...]Point{{1.5, -3.5}, {0, 0}}     // same as [...]Point{Point{1.5, -3.5}, Point{0, 0}}
[][]int{{1, 2, 3}, {4, 5}}          // same as [][]int{[]int{1, 2, 3}, []int{4, 5}}
[][]Point{{{0, 1}, {1, 2}}}         // same as [][]Point{[]Point{Point{0, 1}, Point{1, 2}}}
map[string]Point{"orig": {0, 0}}    // same as map[string]Point{"orig": Point{0, 0}}
map[Point]string{{0, 0}: "orig"}    // same as map[Point]string{Point{0, 0}: "orig"}